EMNLP

Rethinking Search: A Study of University Students' Perspectives on Using LLMs and Traditional Search Engines in Academic Problem Solving

Md. Faiyaz Abdullah Sayeedi, Md. Sadman Haque, Zobaer Ibn Razzaque, Robiul Awoul Robin, Sabila Nawshin

Comments Acctepted at the EMNLP 2025 HCI+NLP Workshop

EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs

Numaan Naeem, Abdellah El Mekki, Muhammad Abdul-Mageed

机构 * MBZUAI ； The University of British Columbia（不列颠哥伦比亚大学） 纠错

Comments 28 pages, 2 figures, 14 tables, 50 listings, EMNLP 2025 Main

TaxoAlign: Scholarly Taxonomy Generation Using Language Models

Avishek Lahiri, Yufang Hou, Debarshi Kumar Sanyal

机构 * Indian Association for the Cultivation of Science（印度科学培养协会） ； IT:U Interdisciplinary Transformation University Austria（奥地利 interdisciplinary Transformation University） 纠错

Comments This paper has been accepted at the EMNLP 2025 Main Conference

$\mathcal{V}isi\mathcal{P}runer$: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs

Yingqi Fan, Anhao Zhao, Jinlan Fu, Junlong Tong, Hui Su, Yijie Pan, Wei Zhang, Xiaoyu Shen

机构 * Ningbo Key Laboratory of Spatial Intelligence and Digital Derivative, Institute of Digital Twin, EIT, Ningbo（宁波空间智能与数字衍生关键实验室，数字孪生研究院，EIT，宁波） ； Shanghai Jiao Tong University（上海交通大学） ； Hong Kong Polytechnic University（香港理工大学） ； Meituan Inc.（美团公司） ； National University of Singapore（新加坡国立大学） 纠错

Comments EMNLP 2025 Main

Real-Time World Crafting: Generating Structured Game Behaviors from Natural Language with Large Language Models

Austin Drake, Hang Dong

机构 * University of Exeter Department of Computer Science（埃克塞特大学计算机科学系） 纠错

Comments 16 pages, 11 figures (including appendix). To be presented at the 5th Wordplay @ EMNLP workshop (2025)

Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?

Zhihui Yang, Yupei Wang, Kaijie Mo, Zhe Zhao, Renfen Hu

机构 * Beijing Normal University（北京师范大学） ； Tencent AI Lab（腾讯AI实验室） 纠错

Comments Accepted to EMNLP 2025 (Findings). This version corrects a redundant sentence in the Results section that appeared in the camera-ready version

DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction

Yiqi Li, Yusheng Liao, Zhe Chen, Yanfeng Wang, Yu Wang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 纠错

Comments This paper was accepted to the EMNLP 2025 main conference

Thinking Out Loud: Do Reasoning Models Know When They're Right?

Qingcheng Zeng, Weihao Xuan, Leyang Cui, Rob Voigt

机构 * Northwestern University（西北大学） ； The University of Tokyo（东京大学） ； RIKEN AIP（理化学研究所AIP） ； Westlake University（西湖大学） ； University of California, Davis（加州大学戴维斯分校） 纠错

Comments EMNLP 2025

When Words Smile: Generating Diverse Emotional Facial Expressions from Text

Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Erik Cambria, Min Zhang, Hao Fei

Comments Accepted by EMNLP 2025 (Oral); Project Page: https://walkermitty.github.io/EmoAva

Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback

Chu Fei Luo, Samuel Dahan, Xiaodan Zhu

机构 * Department of Electrical and Computer Engineering & Ingenuity Labs Research Institute（电气与计算机工程系及创新实验室研究机构） ； Conflict Analytics Lab, Queen’s University（冲突分析实验室，女王大学） ； Cornell Law School（康奈尔法学院） 纠错

Comments Findings of EMNLP 2025, 5 pages

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?

Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Xiaoshuang Liu, Shengchun Xu, Yasheng Wang, Ruiming Tang

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

Comments EMNLP 2025 Findings

Code Execution as Grounded Supervision for LLM Reasoning

Dongwon Jung, Wenxuan Zhou, Muhao Chen

机构 * University of California, Davis（加州大学戴维斯分校） ； University of Southern California（南加州大学） 纠错

Comments EMNLP 2025

Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs

Mengqi Liao, Xiangyu Xi, Ruinian Chen, Jia Leng, Yangen Hu, Ke Zeng, Shuai Liu, Huaiyu Wan

机构 * School of Computer Science and Technology, Beijing Jiaotong University（计算机科学与技术学院，北京交通大学） ； Meituan（美团） ； Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence（北京交通数据挖掘与具身智能重点实验室） 纠错

Comments Accept by EMNLP 2025 main

Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs

Nandan Thakur, Crystina Zhang, Xueguang Ma, Jimmy Lin

Comments EMNLP 2025 Findings

MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries

Jonghwi Kim, Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Jungseul Ok, Gary Lee

机构 * Graduate School of Artificial Intelligence, POSTECH, Republic of Korea（POSTECH人工智能研究生院） ； Department of Computer Science and Engineering, POSTECH, Republic of Korea（POSTECH计算机科学与工程系） ； Lilt, Inc.（Lilt公司） 纠错

Comments 17 pages, 9 figures, EMNLP 2025 Main Conference

Hallucination Detection in LLMs Using Spectral Features of Attention Maps

Jakub Binkowski, Denis Janiak, Albert Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz

机构 * Wroclaw University of Science and Technology（沃拉日-克拉夫大学科学与技术学院） ； University of Technology Sydney（悉尼技术大学） 纠错

Comments Accepted to EMNLP 2025. Code available at https://github.com/graphml-lab-pwr/lapeigvals

A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems

Alex Duchnowski, Ellie Pavlick, Alexander Koller

Comments 24 pages, 6 figures, EMNLP 2025

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation

Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao Chen

机构 * University of California, Davis（加州大学戴维斯分校） ； University of Southern California（南加州大学） ； Arizona State University（亚利桑那州立大学） 纠错

Comments EMNLP 2025 Findings

EasyRec: Simple yet Effective Language Models for Recommendation

Xubin Ren, Chao Huang

机构 * The University of Hong Kong（香港大学） 纠错

Comments Published as an EMNLP'25 main paper